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Daniel Marta's Projects

deeprlhacks icon deeprlhacks

Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)

detectron.pytorch icon detectron.pytorch

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

differentiable-robot-model icon differentiable-robot-model

We are implementing differentiable models of robot manipulators, which allows us to learn typically assumed to be known models of robots for control and motion planning.

dl-workshop-series icon dl-workshop-series

Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)

dqfd icon dqfd

An implement of DQfD(Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Learning

drl-keras icon drl-keras

Implementation of deep reinforcement learning algorithms in Keras for a course in refactoring/versioning and testing.

drl-simple-collection icon drl-simple-collection

Collection of DRL scripts (as short as possible) that DO work, out of the box, on simple gym environments, both in tensorflow and pytorch. Either collected from other authors (referred at the beginning of the script) or made by me (when not referring).

droid icon droid

Package for rapid prototyping of reinforcement learning environments

dsacline icon dsacline

Differentiable RANSAC: Learning Robust Line Fitting

editorxr icon editorxr

Author XR in XR - See blog post for supporting downloads:

eips icon eips

The Ethereum Improvement Proposal

esp-who icon esp-who

Face detection and recognition framework

fedn icon fedn

Framework-agnostic hierarchical federated learning

fpssample icon fpssample

A first person multiplayer shooter example project in Unity

fractalai icon fractalai

Cellular automaton-based calculus for the masses

freqtrade icon freqtrade

Simple High Frequency Trading Bot for crypto currencies

fsociety icon fsociety

fsociety Hacking Tools Pack – A Penetration Testing Framework

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